EIE CBCS Syllabus

Page 14

3. Understand various analysis tools and develop programs for Industrial Applications Course Outcomes: At the end of this course, students will demonstrate the ability to 1. Understand Virtual Instrument concepts. 2. Create a Virtual Instrument using graphical programming 3. Develop systems for real-time signal acquisition and analysis. 4. Apply concepts of network interface for data communication. 5. Implement and design data acquisition systems for practical applications. 6. Suggest solutions for automation and control applications using virtual instrumentation. Module 1: Review Of Virtual Instrumentation: Historical perspective, advantages, Block diagram and Architecture of a Virtual Instrument, Data Flow Techniques, Graphical programming in data flow, comparison with Conventional programming. Module 2 : Introduction To LabVIEW: Advantages of LabVIEW Software Environment-Creating and Saving VI-Controls and IndicatorsData types. Sub VI: Creating- Opening-Editing-Placing a Sub VI in a block- Creating a Stand Alone Application Module 3: Programming Techniques: Loops and charts, arrays, clusters and graphs, case and sequence structures, formula nodes, local and global variables, string and file I/O Module 4: Data Acquisition Basics: Signals Handling and Classification – Signal Conditioning - Analog Interfacing (I/O) - Counters & Timers – Digital (I/O) - DAQ Hardware – DAQ Software Architecture - DAQ Assist Module 5: Common Instrument Interfaces: GPIB-RS232-Handshaking- RS232/RS485 interfacing, VISA – IVI - PCMCIA – SCXI – VXI Networking basics for office & Industrial applications Module 6: Applications: Motion Control - Virtual Instrumentation and CAD Tool, Remote Front Panel LabVIEW Applications, Timed Loop Applications Client–Server Applications – Case Studies . Text Books 1. Dr. Sumathi. S and Prof. Surekha. P, “LabVIEW Based Advanced Instrumentation Systems”, 2nd edition, 2007. 2. Jovitha Jerome, “Virtual Instrumentation using LabVIEW”, PHI Learning Pvt. Ltd, New Delhi, 2010. 3. Gary Johnson, “LabVIEW Graphical Programming”, McGraw Hill, 2006. Reference Books: 1. Lisa .K, Wells and Jeffrey Travis, “LABVIEW for Everyone”, Prentice Hall, 2009. 2. Skolkoff, “Basic concepts of LABVIEW 4”, PHI, 1998. 3. Gupta. S, Gupta. J.P, “PC Interfacing for Data Acquisition and Process Control”, ISA, 1994. 4. Amy. L.T, “Automation System for Control and Data Acquisition”, ISA, 1992. 18EI2012

VIRTUAL INSTRUMENTATION AND DATA ACQUISITION LABORATORY

L 0

T 0

P 2

C 1

Course Objective: To impart knowledge on  The basics concepts of Virtual Instrumentation.  Programming in LabVIEW using structures, graphs and charts for system monitoring, processing and controlling  The data acquisition and interfacing concepts using a state-of-the-art software platform such as National Instrument's LabVIEW. Course Outcomes: At the end of this course, students will demonstrate the ability to  Create, Edit and Debug Virtual Instruments  Develop Virtual instrumetation systems for practical applications  Apply PC interfacing principles for data acquisition  Understand the usage of Instrument Driver for Computer measurement and control.  Formulate instrumentation and control applications using LabVIEW  Appraise the usefulness of LabVIEW for real time data acquisition and analysis

Instrumentation Engineering


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18EI3025 Entrepreneurship development for embedded system 3:0:0 3

6hr
pages 39-246

18EI3023 Internet of things and protocols 3:0:0 3

1min
page 37

18EI3021 Real Time Operating System 3:0:0 3

2min
page 35

18EI3022 Embedded networking and automation of Electrical Systems

2min
page 36

18EI3020 Advanced course in Embedded C 3:0:0 3

2min
page 34

18EI3019 Python programming and Interfacing Techniques 3:0:0 3

2min
page 33

18EI3018 Embedded Android Programming 3:0:0 3

2min
page 32

18EI3016 Embedded based Image Processing Techniques 3:0:0 3

2min
page 30

18EI3017 Optimization techniques for Embedded Systems 3:0:0 3

2min
page 31

18EI3015 Embedded Product Development 3:0:0 3

2min
page 29

18EI3013 Smart system Design 3:0:0 3

2min
page 27

18EI3014 MEMS Technology for Embedded Design 3:0:0 3

2min
page 28

18EI3012 Wireless and Mobile Communication 3:0:0 3

2min
page 26

18EI3011 Distributed Embedded Computing 3:0:0 3

2min
page 25

18EI3010 Embedded Automotive Systems 3:0:0 3

2min
page 24

18EI3008 IoT Lab 0:0:4 2

1min
page 22

18EI3009 Field programmable Lab 0:0:4 2

1min
page 23

18EI3007 Embedded Based Virtual Instrumentation Lab 0:0:4 2

2min
page 21

18EI2013 Microcontroller and PLC Laboratory 0:0:2 1

2min
page 13

18EI3006 Advanced Embedded System Lab 0:0:4 2

2min
page 20

18EI3005 Embedded Linux 3:0:0 3

2min
page 19

18EI3004 Advanced Embedded Processors 3:0:0 3

2min
page 18

18EI2014 Modelling and Simulation 3:0:0 3

2min
page 14

18EI3002 Embedded system and software design 3:0:0 3

2min
page 16

18EI3003 Programmable Devices for Industrial Automation 3:0:0 3

2min
page 17

18EI3001 Advanced Embedded Signal Processors 3:0:0 3

1min
page 15
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